Rhino Federated Computing · 3 days ago
Principal (Team Lead), Forward Deployed AI Engineering
Boston
Full-time
Onsite
Senior Level, Lead/Staff
5+ years expRhino Federated Computing is a company focused on solving challenges in AI through federated computing. The role involves leading a customer-facing AI engineering team to deploy and scale the Federated Computing Platform, working closely with clients to design and implement innovative AI solutions while ensuring privacy and regulatory compliance.
Artificial Intelligence (AI)Cloud ComputingDeveloper PlatformInformation TechnologyPrivacySoftware
Responsibilities
Lead the design and delivery of federated AI solutions across imaging, text, and structured data domains
Design and implement federated training and inference pipelines, integrating data preprocessing, model orchestration, and AIOps tooling
Own project execution from scoping to deployment — ensuring clarity, speed, and technical excellence
Partner directly with customers to understand workflows, map data ecosystems, and design scalable AI solutions
Serve as a trusted technical advisor on privacy-preserving ML, model optimization, and deployment best practices.Build long-term relationships that drive adoption and measurable outcomes for customer programs
Manage multiple concurrent engagements, balancing strategic leadership with hands-on problem-solving
Provide mentorship to Forward Deployed Engineers and Scientists, fostering a high-performance, learning-driven culture
Identify reusable solution patterns and contribute to the standardization of federated AI workflows
Surface customer insights and field feedback that shape Rhino’s roadmap
Collaborate with product and research teams to prototype and validate new federated learning research and frameworks
Qualification
Required
5+ years in applied AI, machine learning engineering, or MLOps roles; experience deploying models in production environments
Deep hands-on experience with deep learning frameworks (PyTorch, TensorFlow, JAX) and AI/MLOps ecosystems
Familiarity with LLM frameworks (GPT, Gemini, Claude, LangChain, agentic frameworks, etc.)
Strong proficiency in Python, REST APIs, and data systems (SQL/NoSQL); comfort with cloud computing and GPU-based systems
Proven ability to own technical outcomes end-to-end, from scoping and prototyping to full-scale delivery
Excellent communication skills and the ability to operate across customer, product, and engineering teams
Action-oriented, adaptable, and able to prioritize effectively in fast-changing environments
Preferred
Industry experience in healthcare, biopharma, financial services, and public sector
Ph.D. or M.S. in a quantitative field (Computer Science, Engineering, Biomedical Informatics, Bioinformatics, Chemistry, or related)
Prior experience deploying federated learning, privacy-preserving AI, or secure distributed computing systems
Company
Rhino Federated Computing
The revolutionary platform for decentralized AI collaborations - unlock data silos without data sharing.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$31.05MKey Investors
AlleyCorpTELUS Global VenturesEuropean Network of AI Excellence Centres
2025-05-22Series A· $15M
2024-10-31Series Unknown
2023-10-19Grant
Leadership Team
Ittai Dayan
Co-Founder & CEO
Yuval Baror
Co-Founder & CTO
Recent News
2025-11-10
Mugglehead Investment Magazine
2025-10-04
Drug Discovery and Development
2025-10-04
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